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Found 4 papers, 0 papers with code
Learning Fair Policies for Multi-stage Selection Problems from Observational Data
We consider the problem of learning fair policies for multi-stage selection problems from observational data.
Distributionally Robust Path Integral Control
We consider a continuous-time continuous-space stochastic optimal control problem, where the controller lacks exact knowledge of the underlying diffusion process, relying instead on a finite set of historical disturbance trajectories.
Wasserstein Robust Classification with Fairness Constraints
We propose a distributionally robust classification model with a fairness constraint that encourages the classifier to be fair in view of the equality of opportunity criterion.
A Robust Spectral Clustering Algorithm for Sub-Gaussian Mixture Models with Outliers
Traditional clustering algorithms such as k-means and spectral clustering are known to perform poorly for datasets contaminated with even a small number of outliers.
